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Dr. D. (Diliara) Valeeva

Faculty of Social and Behavioural Sciences
Programme group: Challenges to Democratic Representation
Photographer: Sahir Dhanani Enarth

Visiting address
  • Nieuwe Achtergracht 166
Postal address
  • Postbus 15578
    1001 NB Amsterdam
Contact details
  • Profile

    I am an Assistant Professor in Computational Social Science at the Political Science department of the University of Amsterdam (UvA).

    My academic career has been driven by a deep commitment to understanding power dynamics, specifically how powerful entities—whether they are corporations, elites, or shareholders—gain and exercise power.

    Currently, I am researching how major tech companies and tech elites are transforming the outer space industry. This new space race, shifting from geopolitical to economic competition, covers key sectors like surveillance, communication, space mining, and travel.

    Using computational methods, I study the political and environmental impacts of this power shift.

    Before my tenure at the UvA, I worked as a Postdoctoral Researcher at KU Leuven. I was part of the ‘Geography of Corporate Financialization’ project.

    Collaborating with a team of geographers, I analyzed the power of corporate shareholders across 40 thousand corporations over two decades, providing empirical data to enhance our understanding of shareholder capitalism.

    I obtained my PhD in Political Science from the University of Amsterdam in 2021. For my doctoral research, I studied power of corporate elites by analyzing network of 200 million corporations.

    My investigation revealed how these elites exercise power through personal networks, challenging existing theories on elite globalization.

    ***

    At the UvA, I hold several key positions that enhance both my research and teaching endeavors.

    As one of the leaders at the Social & Behavioral Data Science Center, I organize data science events, advise social scientists on applying data science methods, and oversee funding.

    Additionally, I am an associate on the UvA Sustainability Platform, where I am involved in a project on sustainability of global supply chains.

    I am also a lecturer in the BSc program in Computational Social Science, where I lead an educational track that oversees student engagement with external partners.

    Alongside my academic work, I often comment and write about elites, business, conspiracy theories, and the super-rich in various media.

    ***

    Visit my personal website https://www.diliaravaleeva.com/ for more information.

    LinkedIn: https://www.linkedin.com/in/diliara-valeeva-4267a0100/

    Twitter / X : @diliara_valeeva

    Talks: slides.com/diliaravaleeva

     

  • Publications

    2024

    2023

    • Valeeva, D. (2023). Why don't we ever talk about education when we talk about computational social science? In Workshop Proceedings of the 17th International AAAI Conference on Web and Social Media: 5 June, 2023, Limassol, Cyprus (ICWSM Workshop Proceedings). Association for the Advancement of Artificial Intelligence. https://doi.org/10.36190/2023.13 [details]
    • Valeeva, D., Klinge, T., & Aalbers, M. (2023). Shareholder payouts across time and space: An internationally comparative and cross-sectoral analysis of corporate financialization. New Political Economy, 28(2), 173-189. Advance online publication. https://doi.org/10.1080/13563467.2022.2084522

    2022

    2021

    2020

    2017

    • Dokuka, S., Valeeva, D., & Yudkevich, M. (2017). Homophily Evolution in Online Networks: Who Is a Good Friend and When? In D. I. Ignatov, M. Y. Khachay, V. G. Labunets, N. Loukachevitch, S. I. Nikolenko, A. Panchenko, A. V. Savchenko, & K. V. Vorontsov (Eds.), Analysis of Images, Social Networks and Texts: 5th International Conference, AIST 2016, Yekaterinburg, Russia, April 7-9, 2016 : revised selected papers (pp. 91-99). (Communications in Computer and Information Science; Vol. 661). Springer. https://doi.org/10.1007/978-3-319-52920-2_9 [details]

    2016

    • Poldin, O., Valeeva, D., & Yudkevich, M. (2016). Which Peers Matter: How Social Ties Affect Peer-group Effects. Research in Higher Education, 57(4), 448–468. Advance online publication. https://doi.org/10.1007/s11162-015-9391-x

    2015

    • Dokuka, S., Valeeva, D., & Yudkevich, M. (2015). Formation and evolution mechanisms in online network of students: the Vkontakte case. In Analysis of Images, Social Networks and Texts: 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015 : revised selected papers (pp. 263-274). (Communications in Computer and Information Science; Vol. 542). Springer. https://doi.org/10.1007/978-3-319-26123-2_26
    • Poldin, O., Valeeva, D., & Yudkevich, M. (2015). Choice of specialization: Do peers matter? Applied Economics, 47(44), 4728-4740. https://doi.org/10.1080/00036846.2015.1034840

    2023

    Media appearance

    2021

    • Valeeva, D. (2021). The transnational corporate elite network: Nature and properties. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    No ancillary activities